On multi-class automated vehicles: Car-following behavior and its implications for traffic dynamics

2021 ◽  
Vol 128 ◽  
pp. 103166
Author(s):  
Wissam Kontar ◽  
Tienan Li ◽  
Anupam Srivastava ◽  
Yang Zhou ◽  
Danjue Chen ◽  
...  
Keyword(s):  
Automated Vehicles ◽  
Traffic Dynamics ◽  
Car Following

A car-following model to assess the impact of V2V messages on traffic dynamics

2020 ◽  
Vol 8 (1) ◽  
pp. 150-165
Author(s):  
Tenglong Li ◽  
Dong Ngoduy ◽  
Fei Hui ◽  
Xiangmo Zhao
Keyword(s):  
Traffic Dynamics ◽  
Car Following ◽  
Car Following Model ◽  
The Impact

Modeling and Control Using Connected and Automated Vehicles with Chained Asymmetric Driver Behavior under Stop-and-Go Oscillations

2020 ◽  
pp. 036119812096249
Author(s):  
Anupam Srivastava ◽  
Danjue Chen ◽  
Soyoung Ahn
Keyword(s):  
Order Effect ◽  
Behavior Model ◽  
Automated Vehicles ◽  
Empirical Observation ◽  
Modeling And Control ◽  
Car Following ◽  
Asymmetric Behavior ◽  
Stop And Go ◽  
Car Following Model ◽  
And Control

This paper presents a behavioral car following model, named the chained asymmetric behavior model, that improves on the asymmetric behavior model. This model is inspired by the empirical observation that vehicles react proportionately to the magnitude of disturbance experienced when traversing through a stop-and-go oscillation, deviating from a constant following behavior observed in equilibrium conditions. Findings from simulation experiments suggest that this “second-order” effect significantly affects traffic throughput and evolution under disturbances. Knowledge obtained from the model is leveraged toward designing control for connected automated vehicles in mixed traffic streams.

scholarly journals Safe and Secure Control of Swarms of Vehicles by Small-World Theory

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1043
Author(s):  
Nicola Roveri ◽  
Antonio Carcaterra ◽  
Leonardo Molinari ◽  
Gianluca Pepe
Keyword(s):  
Social Sciences ◽  
Short Range ◽  
Small World ◽  
Collision Probability ◽  
New Paradigm ◽  
Traffic Dynamics ◽  
Controlled System ◽  
Car Following ◽  
Secure Control ◽  
World Theory

The present paper investigates a new paradigm to control a swarm of moving individual vehicles, based on the introduction of a few random long-range communications in a queue dominated by short-range car-following dynamics. The theoretical approach adapts the small-world theory, originally proposed in social sciences, to the investigation of these networks. It is shown that the controlled system exhibits properties of higher synchronization and robustness with respect to communication failures. The considered application to a vehicle swarm shows how safety and security of the related traffic dynamics are strongly increased, diminishing the collision probability even in the presence of a hacker attack to some connectivity channels.

scholarly journals Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers

2018 ◽  
Vol 19 (3) ◽  
pp. 733-744 ◽  
Author(s):  
Ding Zhao ◽  
Xianan Huang ◽  
Huei Peng ◽  
Henry Lam ◽  
David J. LeBlanc
Keyword(s):  
Automated Vehicles ◽  
Car Following
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